Open AccessAnalysis of user Awareness for Saudi State Mobile Applications
Author(s) -
Fahad Alturise,
Waleed Albattah
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d4996.119420
Subject(s) - login , computer science , password , state (computer science) , perception , selection (genetic algorithm) , computer security , world wide web , internet privacy , human–computer interaction , artificial intelligence , psychology , algorithm , neuroscience
In this article, we analyze the perception of Saudi state application users about password selection from real-world data. A total of 1,082 participants provided information about their behavior on state applications. The study extracts useful information related to the users’ weak practices. The findings include useful information representing thousands of minds and individual behaviors in using state applications. As a contribution to the area, it is found that the state applications were developed properly regarding security practices. However, users still represent the weakest party, and they are not aware of the proper practices they should follow. Thus, extensive effort is required to be spent on user education. On the other hand, the diversity of state applications may represent an extra effort to users in the way that they have separate passwords for each application, which makes a unified login portal for all the state applications the appropriate solution.